Matching Items (27)
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- All Subjects: Technology
- Creators: Department of Finance
- Creators: Dean, W.P. Carey School of Business
- Member of: Theses and Dissertations
- Status: Published
Description
The purpose of our research was to develop recommendations and/or strategies for Company A's data center group in the context of the server CPU chip industry. We used data collected from the International Data Corporation (IDC) that was provided by our team coaches, and data that is accessible on the internet. As the server CPU industry expands and transitions to cloud computing, Company A's Data Center Group will need to expand their server CPU chip product mix to meet new demands of the cloud industry and to maintain high market share. Company A boasts leading performance with their x86 server chips and 95% market segment share. The cloud industry is dominated by seven companies Company A calls "The Super 7." These seven companies include: Amazon, Google, Microsoft, Facebook, Alibaba, Tencent, and Baidu. In the long run, the growing market share of the Super 7 could give them substantial buying power over Company A, which could lead to discounts and margin compression for Company A's main growth engine. Additionally, in the long-run, the substantial growth of the Super 7 could fuel the development of their own design teams and work towards making their own server chips internally, which would be detrimental to Company A's data center revenue. We first researched the server industry and key terminology relevant to our project. We narrowed our scope by focusing most on the cloud computing aspect of the server industry. We then researched what Company A has already been doing in the context of cloud computing and what they are currently doing to address the problem. Next, using our market analysis, we identified key areas we think Company A's data center group should focus on. Using the information available to us, we developed our strategies and recommendations that we think will help Company A's Data Center Group position themselves well in an extremely fast growing cloud computing industry.
ContributorsJurgenson, Alex (Co-author) / Nguyen, Duy (Co-author) / Kolder, Sean (Co-author) / Wang, Chenxi (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / Department of Finance (Contributor) / Department of Management (Contributor) / Department of Information Systems (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Accountancy (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Company X has developed RealSenseTM technology, a depth sensing camera that provides machines the ability to capture three-dimensional spaces along with motion within these spaces. The goal of RealSense was to give machines human-like senses, such as knowing how far away objects are and perceiving the surrounding environment. The key issue for Company X is how to commercialize RealSense's depth recognition capabilities. This thesis addresses the problem by examining which markets to address and how to monetize this technology. The first part of the analysis identified potential markets for RealSense. This was achieved by evaluating current markets that could benefit from the camera's gesture recognition, 3D scanning, and depth sensing abilities. After identifying seven industries where RealSense could add value, a model of the available, addressable, and obtainable market sizes was developed for each segment. Key competitors and market dynamics were used to estimate the portion of the market that Company X could capture. These models provided a forecast of the discounted gross profits that could be earned over the next five years. These forecasted gross profits, combined with an examination of the competitive landscape and synergistic opportunities, resulted in the selection of the three segments thought to be most profitable to Company X. These segments are smart home, consumer drones, and automotive. The final part of the analysis investigated entrance strategies. Company X's competitive advantages in each space were found by examining the competition, both for the RealSense camera in general and other technologies specific to each industry. Finally, ideas about ways to monetize RealSense were developed by exploring various revenue models and channels.
ContributorsDunn, Nicole (Co-author) / Boudreau, Thomas (Co-author) / Kinzy, Chris (Co-author) / Radigan, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Michael (Committee member) / WPC Graduate Programs (Contributor) / Department of Psychology (Contributor) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Department of Economics (Contributor) / School of Mathematical and Statistical Science (Contributor) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Prenatal care is a widely administered preventative care service, and its adequate use has been shown to decrease poor infant and maternal health outcomes. Today however, in the United States, preterm birth rates remain among the highest in the industrialized world, with low socioeconomic women having the highest risk of preterm births. This group of women also face the greatest barriers to access adequate prenatal care in the United States. This paper explores the viability of short message service to help bridge gaps in prenatal care for low socioeconomic women in the United States and provides areas for further research.
ContributorsMiles, Kelly Nicole (Author) / Ketcham, Jonathan (Thesis director) / Santanam, Raghu (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor)
Created2014-05
Description
The object of the present study is to examine methods in which the company can optimize their costs on third-party suppliers whom oversee other third-party trade labor. The third parties in scope of this study are suspected to overstaff their workforce, thus overcharging the company. We will introduce a complex spreadsheet model that will propose a proper project staffing level based on key qualitative variables and statistics. Using the model outputs, the Thesis team proposes a headcount solution for the company and problem areas to focus on, going forward. All sources of information come from company proprietary and confidential documents.
ContributorsLoo, Andrew (Co-author) / Brennan, Michael (Co-author) / Sheiner, Alexander (Co-author) / Hertzel, Michael (Thesis director) / Simonson, Mark (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor) / Department of Supply Chain Management (Contributor) / WPC Graduate Programs (Contributor) / School of Accountancy (Contributor)
Created2014-05
Description
Regenerative medicine is a relatively new area of interest among researchers and physicians alike and has truly come to light within the last twenty years. Its purpose is to “regenerate” cells in our body to return tissue and organs systems to their normal functions by utilizing innate cell mechanisms. Uses have ranged from growing completely new body tissue in labs, to promoting the repair of damaged neurons. More recently, the use of regenerative medicine techniques such as stem cell and platelet rich plasma therapy has seen significant growth throughout high level and professional sports. Beginning in the early 2000s, treatments quickly gained popularity as professional athletes began using them as an alternative to surgery, but this came before any concrete scientific support. This thesis paper will analyze the current statistical data supporting the use of platelet rich plasma and stem cell therapy and associated regulations to describe the connection between regenerative medicine and sports.
ContributorsFritzke, Jack Teodor (Author) / Washo-Krupps, Delon (Thesis director) / Foster, William (Committee member) / Levinson, Simin (Committee member) / School of Life Sciences (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Sustainable supply chain management has become increasingly more important for companies over the last decade. The need to create socially and environmentally sustainable supply chains that are also efficient and profitable is no longer something companies should do, but rather something they must do to stay competitive and successful in the long run. Through the examination of scholarly supply chain literature, case studies, and industry reports with an emphasis on digital technology, supply chain, and sustainability, a conceptual model was created to begin the research in the area of cost savings through the use of digital technologies to enable companies to be more sustainable. This paper works to define the terms sustainability, sustainable supply chain management, and intelligent supply chain designs. It focuses on the positive social and environmental impact of the implementation of leading-edge digital technologies in supply management processes by creating transparency, efficiency, and reliability throughout the supply chain. Through an applied analysis of Mattel, Rana Plaza, Nike, and Coca-Cola and a cost-benefit analysis, it is concluded that companies that implement blockchain technology into their supply management process designs may create more sustainable supply chains while increasing savings and increasing profits. Blockchain may provide the reliability and transparency needed to better manage the supply management process which will evoke better business decisions. Intelligent supply chain designs improve the environmental and social sustainability of a company while maintaining a competitive edge.
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
Keywords. Supply Chain Management, Social Responsibility, Sustainability, Economics, Supply Management, Blockchain, Intelligent Technology
Paper Type. Conceptual Paper
ContributorsVon Mizener, Noel Maria Yvonne Svetlana (Author) / Carter, Craig (Thesis director) / Forst, Bradley (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
This project was performed to uncover new trends and insights in the fields of entrepreneurship and emerging technology for 2019 and then compare these trends to the landscape at Arizona State University. The 2019 South by Southwest Interactive Conference and Trade Shows were attended by the researchers and the experience was captured on video. In addition, the information and trends uncovered at this conference were used to direct secondary research that ultimately culminated into a final presentation that highlights new and positive courses of action for Arizona State’s entrepreneurship and innovation programs that will continue their growth on a national and international basis. This paper serves as scholarly support and evidence of the researcher’s suggestions in the final presentation.
ContributorsSwiszowski, Cole (Co-author) / Rost, Tanner (Co-author) / Trujillo, Rhett (Thesis director) / Sebold, Brent (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Supply Chain Management (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Personal branding within the music industry has long fallen under the supervision of profit-centric major record labels, whose control extended throughout artist’s music, copyrights, merchandising, and fair-use compensation. This paper explores how artists’ branding has evolved within the recording industry alongside the development of emerging technologies and the discovery of certain patterns in consumer behavior. Starting with an overarching exploration of the origins of commercialized music, this paper iterates how certain record labels ascended the corporate hierarchy to influence consumers’ accessible listening options. This understanding leads to an analysis of the inception of illegal file-sharing websites as an outlet for music distribution, as well as its long-lasting effects on industry distribution tactics and music streaming platforms. This paper then narrows to the origins of the rap industry, delving into the traditionally-rooted experiential celebrations that birthed such an impactful genre. Following an understanding of the history of the recording and rap industries, this paper identifies the modern music listener’s behaviors and choices, supplemented by an examination of how consumer social technologies have motivated these changes. To best understand the role of these evolving perceptions, this paper evaluates four successful rap artists - Chance the Rapper, Tekashi 6ix9ine, Lil Nas X, and Travis Scott - and determines the strategies employed by these individuals and their branding teams. Finally, in determining these strategies, this paper outlines the essential takeaways from this research that would aid in the advancement of an artist’s personal branding today.
ContributorsBoyle, Jared Devin (Co-author) / Schneider, Garrett (Co-author) / Giles, Charles (Thesis director) / Lisjak, Monika (Committee member) / School of Music (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Barrett, The Honors College (Contributor)
Created2019-12
Description
Supply chain is changing. The focus has always been on information and how it is used to get a product to the right place at the right time. But now, there is a greater emphasis on speed. Speed in how information is transferred and how decisions are made. In the new era of Supply Chain 4.0, companies in every industry are in a race to use digital technologies to achieve this speed. These digital technologies include Artificial Intelligence, Machine Learning, Internet of Things, and Blockchain.
The challenges that companies face when digitally transforming the supply chain can often be self-inflicted. This paper will address those challenges and provide a structured approach to a successful transformation. It will also share insight from interviews conducted with the CIO and directors of three different companies as well various studies from outside sources. The purpose is to urge business leaders to re-evaluate the way they approach digital transformation in the supply chain to close information gaps and provide value to the whole organization.
The challenges that companies face when digitally transforming the supply chain can often be self-inflicted. This paper will address those challenges and provide a structured approach to a successful transformation. It will also share insight from interviews conducted with the CIO and directors of three different companies as well various studies from outside sources. The purpose is to urge business leaders to re-evaluate the way they approach digital transformation in the supply chain to close information gaps and provide value to the whole organization.
ContributorsRamesh, Sanjana (Author) / Davila, Eddie (Thesis director) / Blackmer, Cindie (Committee member) / Department of Information Systems (Contributor, Contributor) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The direction of artificial intelligence is one of the most important and popular topics of technological development. Both experts and the average person agree AI will continue to play a massive role in virtually all industries. Despite this shared belief, AI has continued to progress at a limited rate, limited by conventional schools of thought and mathematical approaches. In order for truly intelligent technology to exist, one must succeed in modeling the human brain as a system, not its functionalities. Conventional AI attempts to account for all the variables and permutations of a given situation rather than creating a closed system that can implicitly utilize data to form completely unique conclusions without human intervention. By bridging the gap between mathematics, biology, and neurology, Igni will become the world's first hyper intelligent artificial intelligence system. In order to understand Igni, one must first understand the progression of conventional AI and its limitations. Then they can understanding the major components of Igni and how this technology overcomes conventional limitations in its journey to revolutionize most industries.
ContributorsYu, Vince Winghang (Co-author) / Patel, Ishan (Co-author) / Dawson, Gregory (Thesis director) / Garverick, Michael (Committee member) / Department of Finance (Contributor) / School of Accountancy (Contributor) / Barrett, The Honors College (Contributor)
Created2018-12